2023-05-01 13:41:22
Researchers have developed an algorithm that would make it possible to identify the presence of cancer in the body more quickly, by detecting the first signs of the disease that are difficult to perceive with the naked eye on medical imaging.
“It is hoped that this will improve detection and potentially make cancer treatment more effective by highlighting high-risk patients and quickly directing them to earlier intervention,” said Dr Benjamin Hunter, Registrar of Clinical Oncology at The Royal Marsden and a clinical research fellow at Imperial, according to The Guardian.
The artificial intelligence (AI) tool, shared in the eBioMedicine Lancet Journal, would thus make it possible to identify whether the abnormal growths detected on medical imaging would be cancerous or not.
To do this, they developed an algorithm by training Artificial Intelligence (AI) using around 500 images of large lung nodules that were studied to extract hidden features.
Physicians would thus be able to make faster and more informed decisions regarding a patient’s next course of treatment.
Each year, regarding 10 million people die of cancer, equivalent to one in six people, and lung cancer is the most deadly, according to World Health Organization data reported by the English media.
Currently, more than 60% of lung cancers in the UK are diagnosed late, at stage three or four. This type of cancer would also cause 21% of cancer deaths in the country.
“People diagnosed with lung cancer at the earliest stage are much more likely to survive for five years than those whose cancer is detected late,” said Dr. Richard Lee, Libra study investigator and lead researcher. team at the London Cancer Research Institute.
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